Overview

Brought to you by YData

Dataset statistics

Number of variables26
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.1 KiB
Average record size in memory216.0 B

Variable types

Categorical2
TimeSeries22
Numeric2

Timeseries statistics

Number of series22
Time series length100
Starting point1746526980000
Ending point1746533040000
Period61212.12121
2025-05-16T12:22:49.679756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:49.750142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

symbol has constant value "BTC/USD" Constant
candle_seconds has constant value "60" Constant
close is highly overall correlated with ema_14 and 15 other fieldsHigh correlation
ema_14 is highly overall correlated with close and 14 other fieldsHigh correlation
ema_21 is highly overall correlated with close and 14 other fieldsHigh correlation
ema_60 is highly overall correlated with close and 13 other fieldsHigh correlation
ema_7 is highly overall correlated with close and 15 other fieldsHigh correlation
high is highly overall correlated with close and 16 other fieldsHigh correlation
low is highly overall correlated with close and 15 other fieldsHigh correlation
macd_7 is highly overall correlated with close and 11 other fieldsHigh correlation
macdhist_7 is highly overall correlated with macd_7 and 3 other fieldsHigh correlation
macdsignal_7 is highly overall correlated with ema_14 and 7 other fieldsHigh correlation
obv_7 is highly overall correlated with volumeHigh correlation
open is highly overall correlated with close and 16 other fieldsHigh correlation
rsi_14 is highly overall correlated with macd_7 and 3 other fieldsHigh correlation
rsi_21 is highly overall correlated with close and 8 other fieldsHigh correlation
rsi_60 is highly overall correlated with macd_7 and 1 other fieldsHigh correlation
rsi_7 is highly overall correlated with macd_7 and 2 other fieldsHigh correlation
sma_14 is highly overall correlated with close and 14 other fieldsHigh correlation
sma_21 is highly overall correlated with close and 14 other fieldsHigh correlation
sma_60 is highly overall correlated with close and 13 other fieldsHigh correlation
sma_7 is highly overall correlated with close and 15 other fieldsHigh correlation
target is highly overall correlated with close and 15 other fieldsHigh correlation
volume is highly overall correlated with obv_7High correlation
window_end_ms is highly overall correlated with close and 13 other fieldsHigh correlation
window_start_ms is highly overall correlated with close and 13 other fieldsHigh correlation
open is non stationary Non stationary
low is non stationary Non stationary
high is non stationary Non stationary
close is non stationary Non stationary
window_start_ms is non stationary Non stationary
window_end_ms is non stationary Non stationary
sma_7 is non stationary Non stationary
sma_14 is non stationary Non stationary
sma_21 is non stationary Non stationary
sma_60 is non stationary Non stationary
ema_7 is non stationary Non stationary
ema_14 is non stationary Non stationary
ema_21 is non stationary Non stationary
ema_60 is non stationary Non stationary
rsi_14 is non stationary Non stationary
rsi_60 is non stationary Non stationary
window_start_ms is uniformly distributed Uniform
window_end_ms is uniformly distributed Uniform
volume has unique values Unique
window_start_ms has unique values Unique
window_end_ms has unique values Unique
sma_14 has unique values Unique
sma_21 has unique values Unique
sma_60 has unique values Unique
ema_14 has unique values Unique
ema_21 has unique values Unique
ema_60 has unique values Unique
macd_7 has unique values Unique
macdsignal_7 has unique values Unique
macdhist_7 has unique values Unique
obv_7 has unique values Unique
rsi_7 has 5 (5.0%) zeros Zeros

Reproduction

Analysis started2025-05-16 10:22:37.388638
Analysis finished2025-05-16 10:22:49.649399
Duration12.26 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

symbol
Categorical

Constant 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
BTC/USD
100 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters700
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBTC/USD
2nd rowBTC/USD
3rd rowBTC/USD
4th rowBTC/USD
5th rowBTC/USD

Common Values

ValueCountFrequency (%)
BTC/USD 100
100.0%

Length

2025-05-16T12:22:49.804743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-16T12:22:49.819079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
btc/usd 100
100.0%

Most occurring characters

ValueCountFrequency (%)
B 100
14.3%
T 100
14.3%
C 100
14.3%
/ 100
14.3%
U 100
14.3%
S 100
14.3%
D 100
14.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 700
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
B 100
14.3%
T 100
14.3%
C 100
14.3%
/ 100
14.3%
U 100
14.3%
S 100
14.3%
D 100
14.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 700
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
B 100
14.3%
T 100
14.3%
C 100
14.3%
/ 100
14.3%
U 100
14.3%
S 100
14.3%
D 100
14.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 700
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
B 100
14.3%
T 100
14.3%
C 100
14.3%
/ 100
14.3%
U 100
14.3%
S 100
14.3%
D 100
14.3%

open
Numeric time series

High correlation  Non stationary 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93956.746
Minimum93709
Maximum94255.5
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:49.836418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93709
5-th percentile93726.695
Q193862.725
median93906
Q394020
95-th percentile94255.405
Maximum94255.5
Range546.5
Interquartile range (IQR)157.275

Descriptive statistics

Standard deviation156.86403
Coefficient of variation (CV)0.0016695345
Kurtosis-0.51657661
Mean93956.746
Median Absolute Deviation (MAD)94.35
Skewness0.49114698
Sum9395674.6
Variance24606.324
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4046524659
2025-05-16T12:22:49.864362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:50.371008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:50.386858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94255.4 6
 
6.0%
94255.5 5
 
5.0%
93898.1 5
 
5.0%
93880 5
 
5.0%
93987.2 3
 
3.0%
93906 3
 
3.0%
94182.5 3
 
3.0%
94000.3 3
 
3.0%
94015.7 3
 
3.0%
93729 2
 
2.0%
Other values (50) 62
62.0%
ValueCountFrequency (%)
93709 1
1.0%
93709.1 1
1.0%
93709.4 1
1.0%
93709.5 2
2.0%
93727.6 1
1.0%
93728.2 2
2.0%
93729 2
2.0%
93740.3 1
1.0%
93761.2 1
1.0%
93795.2 2
2.0%
ValueCountFrequency (%)
94255.5 5
5.0%
94255.4 6
6.0%
94182.6 1
 
1.0%
94182.5 3
3.0%
94177 1
 
1.0%
94168.1 1
 
1.0%
94119.9 1
 
1.0%
94113.4 2
 
2.0%
94067.1 1
 
1.0%
94025 1
 
1.0%
2025-05-16T12:22:50.313607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

low
Numeric time series

High correlation  Non stationary 

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93947.856
Minimum93697.9
Maximum94255.5
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:50.431207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93697.9
5-th percentile93709.5
Q193852
median93898
Q394015.725
95-th percentile94255.4
Maximum94255.5
Range557.6
Interquartile range (IQR)163.725

Descriptive statistics

Standard deviation157.19836
Coefficient of variation (CV)0.0016732512
Kurtosis-0.47182949
Mean93947.856
Median Absolute Deviation (MAD)102.15
Skewness0.52786348
Sum9394785.6
Variance24711.325
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3503106548
2025-05-16T12:22:50.461829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:51.114019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:51.128220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94255.4 8
 
8.0%
93879.9 5
 
5.0%
93898 5
 
5.0%
94000.2 4
 
4.0%
94182.5 3
 
3.0%
93888 3
 
3.0%
94015.7 3
 
3.0%
93987.1 3
 
3.0%
93852 3
 
3.0%
93890.6 2
 
2.0%
Other values (51) 61
61.0%
ValueCountFrequency (%)
93697.9 1
1.0%
93709 1
1.0%
93709.1 1
1.0%
93709.4 1
1.0%
93709.5 2
2.0%
93727.4 1
1.0%
93728.1 2
2.0%
93729 2
2.0%
93740.3 1
1.0%
93761.2 1
1.0%
ValueCountFrequency (%)
94255.5 1
 
1.0%
94255.4 8
8.0%
94255.3 1
 
1.0%
94182.5 3
 
3.0%
94181.2 1
 
1.0%
94177 2
 
2.0%
94119.8 1
 
1.0%
94114 1
 
1.0%
94113.4 1
 
1.0%
94067.1 1
 
1.0%
2025-05-16T12:22:51.038566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

high
Numeric time series

High correlation  Non stationary 

Distinct51
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93960.799
Minimum93709.1
Maximum94255.5
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:51.167833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93709.1
5-th percentile93728.17
Q193864.6
median93909.85
Q394020.325
95-th percentile94255.5
Maximum94255.5
Range546.4
Interquartile range (IQR)155.725

Descriptive statistics

Standard deviation154.49851
Coefficient of variation (CV)0.0016442869
Kurtosis-0.48557844
Mean93960.799
Median Absolute Deviation (MAD)90.55
Skewness0.48224977
Sum9396079.9
Variance23869.79
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4183377651
2025-05-16T12:22:51.197812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:51.774560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:51.787845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94255.5 8
 
8.0%
93898.1 5
 
5.0%
93880 5
 
5.0%
93906 4
 
4.0%
94015.8 4
 
4.0%
93987.2 4
 
4.0%
94255.4 3
 
3.0%
93888.1 3
 
3.0%
93709.5 3
 
3.0%
94000.4 3
 
3.0%
Other values (41) 58
58.0%
ValueCountFrequency (%)
93709.1 1
 
1.0%
93709.5 3
3.0%
93727.6 1
 
1.0%
93728.2 2
2.0%
93729 1
 
1.0%
93729.1 1
 
1.0%
93740.3 1
 
1.0%
93761.2 1
 
1.0%
93795.3 2
2.0%
93800 2
2.0%
ValueCountFrequency (%)
94255.5 8
8.0%
94255.4 3
 
3.0%
94182.6 3
 
3.0%
94182.5 1
 
1.0%
94177 1
 
1.0%
94168.1 1
 
1.0%
94119.9 1
 
1.0%
94113.5 2
 
2.0%
94067.1 1
 
1.0%
94025 1
 
1.0%
2025-05-16T12:22:51.702425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

close
Numeric time series

High correlation  Non stationary 

Distinct63
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93952.285
Minimum93707.8
Maximum94255.5
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:51.835157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93707.8
5-th percentile93726.505
Q193856.375
median93905.95
Q394016.8
95-th percentile94255.4
Maximum94255.5
Range547.7
Interquartile range (IQR)160.425

Descriptive statistics

Standard deviation154.6582
Coefficient of variation (CV)0.0016461356
Kurtosis-0.44268345
Mean93952.285
Median Absolute Deviation (MAD)94.3
Skewness0.5200018
Sum9395228.5
Variance23919.16
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.05699449213
2025-05-16T12:22:51.863129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:52.558228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:52.588637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94255.4 7
 
7.0%
93880 5
 
5.0%
94000.2 4
 
4.0%
94015.8 4
 
4.0%
93709.5 3
 
3.0%
93898.1 3
 
3.0%
94255.5 3
 
3.0%
94020.4 3
 
3.0%
93987.2 3
 
3.0%
93879.9 2
 
2.0%
Other values (53) 63
63.0%
ValueCountFrequency (%)
93707.8 1
 
1.0%
93709.1 1
 
1.0%
93709.5 3
3.0%
93727.4 1
 
1.0%
93728.2 2
2.0%
93729 1
 
1.0%
93729.1 1
 
1.0%
93740.3 1
 
1.0%
93761.3 1
 
1.0%
93795.3 2
2.0%
ValueCountFrequency (%)
94255.5 3
3.0%
94255.4 7
7.0%
94182.6 2
 
2.0%
94182.5 1
 
1.0%
94181.2 1
 
1.0%
94177.1 1
 
1.0%
94177 1
 
1.0%
94119.9 1
 
1.0%
94114 1
 
1.0%
94113.5 1
 
1.0%
2025-05-16T12:22:52.470014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

volume
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83328507
Minimum0.00113458
Maximum32.571468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:52.614702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00113458
5-th percentile0.0028714805
Q10.01278258
median0.044290165
Q30.27200311
95-th percentile2.0423695
Maximum32.571468
Range32.570333
Interquartile range (IQR)0.25922053

Descriptive statistics

Standard deviation3.8736362
Coefficient of variation (CV)4.6486327
Kurtosis53.175288
Mean0.83328507
Median Absolute Deviation (MAD)0.03977177
Skewness7.1283581
Sum83.328507
Variance15.005057
MonotonicityNot monotonic
2025-05-16T12:22:52.672638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00113458 1
 
1.0%
0.01260084 1
 
1.0%
0.02382526 1
 
1.0%
0.91444063 1
 
1.0%
0.03366963 1
 
1.0%
0.10050392 1
 
1.0%
0.31894098 1
 
1.0%
4.03769803 1
 
1.0%
0.05139855 1
 
1.0%
0.0224397 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
0.00113458 1
1.0%
0.00171182 1
1.0%
0.00190897 1
1.0%
0.00212766 1
1.0%
0.00256008 1
1.0%
0.00288787 1
1.0%
0.00303241 1
1.0%
0.0031998 1
1.0%
0.00379054 1
1.0%
0.0040178 1
1.0%
ValueCountFrequency (%)
32.57146805 1
1.0%
21.0058603 1
1.0%
4.03769803 1
1.0%
3.28723909 1
1.0%
2.78025223 1
1.0%
2.00353353 1
1.0%
1.43092744 1
1.0%
1.23172413 1
1.0%
1.20792975 1
1.0%
1.18215473 1
1.0%

window_start_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7465301 × 1012
Minimum1.746527 × 1012
Maximum1.746533 × 1012
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:52.697573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.746527 × 1012
5-th percentile1.7465274 × 1012
Q11.7465286 × 1012
median1.7465301 × 1012
Q31.7465316 × 1012
95-th percentile1.7465327 × 1012
Maximum1.746533 × 1012
Range6060000
Interquartile range (IQR)2970000

Descriptive statistics

Standard deviation1746837.6
Coefficient of variation (CV)1.0001761 × 10-6
Kurtosis-1.1839308
Mean1.7465301 × 1012
Median Absolute Deviation (MAD)1500000
Skewness-0.011879349
Sum1.7465301 × 1014
Variance3.0514415 × 1012
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585312031
2025-05-16T12:22:52.734085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:53.384941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:53.402496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.74652698 × 10121
 
1.0%
1.74653088 × 10121
 
1.0%
1.74653148 × 10121
 
1.0%
1.74653142 × 10121
 
1.0%
1.74653136 × 10121
 
1.0%
1.7465313 × 10121
 
1.0%
1.74653124 × 10121
 
1.0%
1.74653118 × 10121
 
1.0%
1.74653112 × 10121
 
1.0%
1.74653106 × 10121
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1.74652698 × 10121
1.0%
1.74652704 × 10121
1.0%
1.74652716 × 10121
1.0%
1.74652722 × 10121
1.0%
1.74652734 × 10121
1.0%
1.7465274 × 10121
1.0%
1.74652746 × 10121
1.0%
1.74652752 × 10121
1.0%
1.74652758 × 10121
1.0%
1.74652764 × 10121
1.0%
ValueCountFrequency (%)
1.74653304 × 10121
1.0%
1.74653298 × 10121
1.0%
1.74653292 × 10121
1.0%
1.74653286 × 10121
1.0%
1.7465328 × 10121
1.0%
1.74653274 × 10121
1.0%
1.74653268 × 10121
1.0%
1.74653262 × 10121
1.0%
1.74653256 × 10121
1.0%
1.7465325 × 10121
1.0%
2025-05-16T12:22:53.298392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

window_end_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7465301 × 1012
Minimum1.746527 × 1012
Maximum1.7465331 × 1012
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:53.429031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.746527 × 1012
5-th percentile1.7465275 × 1012
Q11.7465286 × 1012
median1.7465301 × 1012
Q31.7465316 × 1012
95-th percentile1.7465328 × 1012
Maximum1.7465331 × 1012
Range6060000
Interquartile range (IQR)2970000

Descriptive statistics

Standard deviation1746837.6
Coefficient of variation (CV)1.000176 × 10-6
Kurtosis-1.1839308
Mean1.7465301 × 1012
Median Absolute Deviation (MAD)1500000
Skewness-0.011879349
Sum1.7465301 × 1014
Variance3.0514415 × 1012
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585327774
2025-05-16T12:22:53.474917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:53.917597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:53.931500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.74652704 × 10121
 
1.0%
1.74653094 × 10121
 
1.0%
1.74653154 × 10121
 
1.0%
1.74653148 × 10121
 
1.0%
1.74653142 × 10121
 
1.0%
1.74653136 × 10121
 
1.0%
1.7465313 × 10121
 
1.0%
1.74653124 × 10121
 
1.0%
1.74653118 × 10121
 
1.0%
1.74653112 × 10121
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1.74652704 × 10121
1.0%
1.7465271 × 10121
1.0%
1.74652722 × 10121
1.0%
1.74652728 × 10121
1.0%
1.7465274 × 10121
1.0%
1.74652746 × 10121
1.0%
1.74652752 × 10121
1.0%
1.74652758 × 10121
1.0%
1.74652764 × 10121
1.0%
1.7465277 × 10121
1.0%
ValueCountFrequency (%)
1.7465331 × 10121
1.0%
1.74653304 × 10121
1.0%
1.74653298 × 10121
1.0%
1.74653292 × 10121
1.0%
1.74653286 × 10121
1.0%
1.7465328 × 10121
1.0%
1.74653274 × 10121
1.0%
1.74653268 × 10121
1.0%
1.74653262 × 10121
1.0%
1.74653256 × 10121
1.0%
2025-05-16T12:22:53.748686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

candle_seconds
Categorical

Constant 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
60
100 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters200
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row60

Common Values

ValueCountFrequency (%)
60 100
100.0%

Length

2025-05-16T12:22:53.987031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-16T12:22:54.009703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
60 100
100.0%

Most occurring characters

ValueCountFrequency (%)
6 100
50.0%
0 100
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 200
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6 100
50.0%
0 100
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 200
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6 100
50.0%
0 100
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 200
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6 100
50.0%
0 100
50.0%

sma_7
Numeric time series

High correlation  Non stationary 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93966.167
Minimum93714.429
Maximum94255.443
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:54.025267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93714.429
5-th percentile93724.609
Q193871.479
median93937.829
Q394015.289
95-th percentile94255.387
Maximum94255.443
Range541.01429
Interquartile range (IQR)143.81071

Descriptive statistics

Standard deviation154.90363
Coefficient of variation (CV)0.0016485043
Kurtosis-0.5858438
Mean93966.167
Median Absolute Deviation (MAD)74.542857
Skewness0.47630324
Sum9396616.7
Variance23995.134
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2082594343
2025-05-16T12:22:54.051781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:54.478345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:54.504435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94255.44286 3
 
3.0%
93866.44286 2
 
2.0%
94217.37143 1
 
1.0%
93935.61429 1
 
1.0%
93865.32857 1
 
1.0%
93867.48571 1
 
1.0%
93874.05714 1
 
1.0%
93880.64286 1
 
1.0%
93887.57143 1
 
1.0%
93900.32857 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
93714.42857 1
1.0%
93714.54286 1
1.0%
93717.57143 1
1.0%
93719.15714 1
1.0%
93720.42857 1
1.0%
93724.82857 1
1.0%
93731.41429 1
1.0%
93737.75714 1
1.0%
93743.67143 1
1.0%
93750.68571 1
1.0%
ValueCountFrequency (%)
94255.44286 3
3.0%
94255.42857 1
 
1.0%
94255.41429 1
 
1.0%
94255.38571 1
 
1.0%
94255.27143 1
 
1.0%
94244.84286 1
 
1.0%
94244.07143 1
 
1.0%
94234.42857 1
 
1.0%
94231.85714 1
 
1.0%
94224.01429 1
 
1.0%
2025-05-16T12:22:54.381466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93981.711
Minimum93734.25
Maximum94250.057
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:54.546268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93734.25
5-th percentile93761.098
Q193882.196
median93958.179
Q394052.323
95-th percentile94236.573
Maximum94250.057
Range515.80714
Interquartile range (IQR)170.12679

Descriptive statistics

Standard deviation146.69593
Coefficient of variation (CV)0.0015608987
Kurtosis-0.75306392
Mean93981.711
Median Absolute Deviation (MAD)78.710714
Skewness0.43626355
Sum9398171.1
Variance21519.697
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5987956902
2025-05-16T12:22:54.587979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:55.387885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:55.401017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94185.67143 1
 
1.0%
93969.37143 1
 
1.0%
93882.85 1
 
1.0%
93886.79286 1
 
1.0%
93894.24286 1
 
1.0%
93904.83571 1
 
1.0%
93915.43571 1
 
1.0%
93925.62857 1
 
1.0%
93938.74286 1
 
1.0%
93946.03571 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
93734.25 1
1.0%
93734.58571 1
1.0%
93734.92143 1
1.0%
93742.3 1
1.0%
93751.97143 1
1.0%
93761.57857 1
1.0%
93769.55714 1
1.0%
93777.52857 1
1.0%
93786.66429 1
1.0%
93795.80714 1
1.0%
ValueCountFrequency (%)
94250.05714 1
1.0%
94249.75714 1
1.0%
94244.90714 1
1.0%
94243.65 1
1.0%
94239.71429 1
1.0%
94236.40714 1
1.0%
94234.51429 1
1.0%
94229.15714 1
1.0%
94228.92143 1
1.0%
94223.32143 1
1.0%
2025-05-16T12:22:55.320842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93995.851
Minimum93768.581
Maximum94226.167
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:55.441846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93768.581
5-th percentile93792.96
Q193914.124
median93969.871
Q394113.893
95-th percentile94221.316
Maximum94226.167
Range457.58571
Interquartile range (IQR)199.76905

Descriptive statistics

Standard deviation136.50674
Coefficient of variation (CV)0.0014522634
Kurtosis-0.92986801
Mean93995.851
Median Absolute Deviation (MAD)83.690476
Skewness0.38748208
Sum9399585.1
Variance18634.089
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5906068337
2025-05-16T12:22:55.468527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:56.294325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:56.329395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94173.96667 1
 
1.0%
93984.58571 1
 
1.0%
93919.50476 1
 
1.0%
93923.99524 1
 
1.0%
93929.58095 1
 
1.0%
93937.6 1
 
1.0%
93945.61905 1
 
1.0%
93953.37619 1
 
1.0%
93963.04762 1
 
1.0%
93968.65238 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
93768.58095 1
1.0%
93770.3619 1
1.0%
93772.14762 1
1.0%
93776.17143 1
1.0%
93784.78095 1
1.0%
93793.39048 1
1.0%
93801.85238 1
1.0%
93809.21905 1
1.0%
93816.00476 1
1.0%
93822.79048 1
1.0%
ValueCountFrequency (%)
94226.16667 1
1.0%
94225.07143 1
1.0%
94223.97143 1
1.0%
94223.78571 1
1.0%
94222.60952 1
1.0%
94221.24762 1
1.0%
94220.78571 1
1.0%
94219.88571 1
1.0%
94218.59048 1
1.0%
94214.06667 1
1.0%
2025-05-16T12:22:56.225459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94049.173
Minimum93882.37
Maximum94165.538
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:56.399343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93882.37
5-th percentile93899.277
Q193952.527
median94070.898
Q394145.599
95-th percentile94164.78
Maximum94165.538
Range283.16833
Interquartile range (IQR)193.07208

Descriptive statistics

Standard deviation95.444119
Coefficient of variation (CV)0.0010148321
Kurtosis-1.3703476
Mean94049.173
Median Absolute Deviation (MAD)82.880833
Skewness-0.32918114
Sum9404917.3
Variance9109.5798
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9119563484
2025-05-16T12:22:56.446773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:57.162107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:57.186736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94145.41333 1
 
1.0%
94016.46833 1
 
1.0%
93958.095 1
 
1.0%
93962.70667 1
 
1.0%
93967.70167 1
 
1.0%
93973.21 1
 
1.0%
93978.69667 1
 
1.0%
93985.32833 1
 
1.0%
93992.64 1
 
1.0%
93998.59667 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
93882.37 1
1.0%
93885.49 1
1.0%
93888.61 1
1.0%
93892.72333 1
1.0%
93896.88667 1
1.0%
93899.40333 1
1.0%
93901.93167 1
1.0%
93904.46167 1
1.0%
93907.30333 1
1.0%
93910.145 1
1.0%
ValueCountFrequency (%)
94165.53833 1
1.0%
94165.50833 1
1.0%
94165.48667 1
1.0%
94165.36167 1
1.0%
94164.80333 1
1.0%
94164.77833 1
1.0%
94164.24333 1
1.0%
94163.59333 1
1.0%
94163.34833 1
1.0%
94162.94333 1
1.0%
2025-05-16T12:22:57.058679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_7
Numeric time series

High correlation  Non stationary 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93966.167
Minimum93714.429
Maximum94255.443
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:57.223577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93714.429
5-th percentile93724.609
Q193871.479
median93937.829
Q394015.289
95-th percentile94255.387
Maximum94255.443
Range541.01429
Interquartile range (IQR)143.81071

Descriptive statistics

Standard deviation154.90363
Coefficient of variation (CV)0.0016485043
Kurtosis-0.5858438
Mean93966.167
Median Absolute Deviation (MAD)74.542857
Skewness0.47630324
Sum9396616.7
Variance23995.134
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2082594343
2025-05-16T12:22:57.280764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:57.671539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:57.702962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94255.44286 3
 
3.0%
93866.44286 2
 
2.0%
94217.37143 1
 
1.0%
93935.61429 1
 
1.0%
93865.32857 1
 
1.0%
93867.48571 1
 
1.0%
93874.05714 1
 
1.0%
93880.64286 1
 
1.0%
93887.57143 1
 
1.0%
93900.32857 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
93714.42857 1
1.0%
93714.54286 1
1.0%
93717.57143 1
1.0%
93719.15714 1
1.0%
93720.42857 1
1.0%
93724.82857 1
1.0%
93731.41429 1
1.0%
93737.75714 1
1.0%
93743.67143 1
1.0%
93750.68571 1
1.0%
ValueCountFrequency (%)
94255.44286 3
3.0%
94255.42857 1
 
1.0%
94255.41429 1
 
1.0%
94255.38571 1
 
1.0%
94255.27143 1
 
1.0%
94244.84286 1
 
1.0%
94244.07143 1
 
1.0%
94234.42857 1
 
1.0%
94231.85714 1
 
1.0%
94224.01429 1
 
1.0%
2025-05-16T12:22:57.618896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93981.711
Minimum93734.25
Maximum94250.057
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:57.740032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93734.25
5-th percentile93761.098
Q193882.196
median93958.179
Q394052.323
95-th percentile94236.573
Maximum94250.057
Range515.80714
Interquartile range (IQR)170.12679

Descriptive statistics

Standard deviation146.69593
Coefficient of variation (CV)0.0015608987
Kurtosis-0.75306392
Mean93981.711
Median Absolute Deviation (MAD)78.710714
Skewness0.43626355
Sum9398171.1
Variance21519.697
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5987956902
2025-05-16T12:22:57.765729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:58.334207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:58.348809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94185.67143 1
 
1.0%
93969.37143 1
 
1.0%
93882.85 1
 
1.0%
93886.79286 1
 
1.0%
93894.24286 1
 
1.0%
93904.83571 1
 
1.0%
93915.43571 1
 
1.0%
93925.62857 1
 
1.0%
93938.74286 1
 
1.0%
93946.03571 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
93734.25 1
1.0%
93734.58571 1
1.0%
93734.92143 1
1.0%
93742.3 1
1.0%
93751.97143 1
1.0%
93761.57857 1
1.0%
93769.55714 1
1.0%
93777.52857 1
1.0%
93786.66429 1
1.0%
93795.80714 1
1.0%
ValueCountFrequency (%)
94250.05714 1
1.0%
94249.75714 1
1.0%
94244.90714 1
1.0%
94243.65 1
1.0%
94239.71429 1
1.0%
94236.40714 1
1.0%
94234.51429 1
1.0%
94229.15714 1
1.0%
94228.92143 1
1.0%
94223.32143 1
1.0%
2025-05-16T12:22:58.279809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93995.851
Minimum93768.581
Maximum94226.167
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:58.421882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93768.581
5-th percentile93792.96
Q193914.124
median93969.871
Q394113.893
95-th percentile94221.316
Maximum94226.167
Range457.58571
Interquartile range (IQR)199.76905

Descriptive statistics

Standard deviation136.50674
Coefficient of variation (CV)0.0014522634
Kurtosis-0.92986801
Mean93995.851
Median Absolute Deviation (MAD)83.690476
Skewness0.38748208
Sum9399585.1
Variance18634.089
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5906068337
2025-05-16T12:22:58.468891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:59.017963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:22:59.034076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94173.96667 1
 
1.0%
93984.58571 1
 
1.0%
93919.50476 1
 
1.0%
93923.99524 1
 
1.0%
93929.58095 1
 
1.0%
93937.6 1
 
1.0%
93945.61905 1
 
1.0%
93953.37619 1
 
1.0%
93963.04762 1
 
1.0%
93968.65238 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
93768.58095 1
1.0%
93770.3619 1
1.0%
93772.14762 1
1.0%
93776.17143 1
1.0%
93784.78095 1
1.0%
93793.39048 1
1.0%
93801.85238 1
1.0%
93809.21905 1
1.0%
93816.00476 1
1.0%
93822.79048 1
1.0%
ValueCountFrequency (%)
94226.16667 1
1.0%
94225.07143 1
1.0%
94223.97143 1
1.0%
94223.78571 1
1.0%
94222.60952 1
1.0%
94221.24762 1
1.0%
94220.78571 1
1.0%
94219.88571 1
1.0%
94218.59048 1
1.0%
94214.06667 1
1.0%
2025-05-16T12:22:58.955650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94049.173
Minimum93882.37
Maximum94165.538
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:22:59.076549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93882.37
5-th percentile93899.277
Q193952.527
median94070.898
Q394145.599
95-th percentile94164.78
Maximum94165.538
Range283.16833
Interquartile range (IQR)193.07208

Descriptive statistics

Standard deviation95.444119
Coefficient of variation (CV)0.0010148321
Kurtosis-1.3703476
Mean94049.173
Median Absolute Deviation (MAD)82.880833
Skewness-0.32918114
Sum9404917.3
Variance9109.5798
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9119563484
2025-05-16T12:22:59.110548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:22:59.991893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:23:00.005432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94145.41333 1
 
1.0%
94016.46833 1
 
1.0%
93958.095 1
 
1.0%
93962.70667 1
 
1.0%
93967.70167 1
 
1.0%
93973.21 1
 
1.0%
93978.69667 1
 
1.0%
93985.32833 1
 
1.0%
93992.64 1
 
1.0%
93998.59667 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
93882.37 1
1.0%
93885.49 1
1.0%
93888.61 1
1.0%
93892.72333 1
1.0%
93896.88667 1
1.0%
93899.40333 1
1.0%
93901.93167 1
1.0%
93904.46167 1
1.0%
93907.30333 1
1.0%
93910.145 1
1.0%
ValueCountFrequency (%)
94165.53833 1
1.0%
94165.50833 1
1.0%
94165.48667 1
1.0%
94165.36167 1
1.0%
94164.80333 1
1.0%
94164.77833 1
1.0%
94164.24333 1
1.0%
94163.59333 1
1.0%
94163.34833 1
1.0%
94162.94333 1
1.0%
2025-05-16T12:22:59.827242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_7
Numeric time series

High correlation  Zeros 

Distinct70
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.464453
Minimum0
Maximum100
Zeros5
Zeros (%)5.0%
Memory size1.6 KiB
2025-05-16T12:23:00.040255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.042016807
Q11.8494055
median31.909054
Q381.754352
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)79.904947

Descriptive statistics

Standard deviation39.345698
Coefficient of variation (CV)0.9489019
Kurtosis-1.3651888
Mean41.464453
Median Absolute Deviation (MAD)30.824283
Skewness0.46434286
Sum4146.4453
Variance1548.084
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.03462386894
2025-05-16T12:23:00.084033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:23:00.312805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:23:00.371794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
100 17
 
17.0%
0 5
 
5.0%
1.849405548 3
 
3.0%
18.5483871 3
 
3.0%
50 2
 
2.0%
71.66666667 2
 
2.0%
99.03846154 2
 
2.0%
99.90689013 2
 
2.0%
1.905829596 2
 
2.0%
1.724137931 2
 
2.0%
Other values (60) 60
60.0%
ValueCountFrequency (%)
0 5
5.0%
0.04422821761 1
 
1.0%
0.04430660169 1
 
1.0%
0.05058168943 1
 
1.0%
0.0634920635 1
 
1.0%
0.1117318436 1
 
1.0%
0.1344086022 1
 
1.0%
0.1445086705 1
 
1.0%
0.2691790041 1
 
1.0%
0.2722323049 1
 
1.0%
ValueCountFrequency (%)
100 17
17.0%
99.9263623 1
 
1.0%
99.90689013 2
 
2.0%
99.90680336 1
 
1.0%
99.89919355 1
 
1.0%
99.03846154 2
 
2.0%
94.72168906 1
 
1.0%
77.43190661 1
 
1.0%
71.70953101 1
 
1.0%
71.66666667 2
 
2.0%
2025-05-16T12:23:00.240118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_14
Numeric time series

High correlation  Non stationary 

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.772958
Minimum0.031938678
Maximum100
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:23:00.407719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.031938678
5-th percentile0.38032174
Q17.025285
median24.262204
Q364.395459
95-th percentile99.931601
Maximum100
Range99.968061
Interquartile range (IQR)57.370174

Descriptive statistics

Standard deviation36.052446
Coefficient of variation (CV)0.9298348
Kurtosis-1.147605
Mean38.772958
Median Absolute Deviation (MAD)22.418319
Skewness0.60022191
Sum3877.2958
Variance1299.7789
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2107685876
2025-05-16T12:23:00.454212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:23:00.968813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:23:01.124098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
100 4
 
4.0%
89.15801615 3
 
3.0%
99.80353635 2
 
2.0%
0.03193867774 2
 
2.0%
38.75446251 2
 
2.0%
39.31593794 2
 
2.0%
11.81750187 2
 
2.0%
99.93160055 2
 
2.0%
57.15859031 2
 
2.0%
51.30773511 2
 
2.0%
Other values (76) 77
77.0%
ValueCountFrequency (%)
0.03193867774 2
2.0%
0.06499837504 1
1.0%
0.06781959987 1
1.0%
0.37817396 1
1.0%
0.3804347826 1
1.0%
0.4450095359 1
1.0%
0.506585613 1
1.0%
0.6052745352 1
1.0%
0.7326007326 1
1.0%
1.035196687 1
1.0%
ValueCountFrequency (%)
100 4
4.0%
99.93160055 2
2.0%
99.93155373 1
 
1.0%
99.90167158 1
 
1.0%
99.9015748 2
2.0%
99.88331389 1
 
1.0%
99.80353635 2
2.0%
89.48847667 1
 
1.0%
89.48256468 1
 
1.0%
89.40248027 1
 
1.0%
2025-05-16T12:23:00.884290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_21
Numeric time series

High correlation 

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.76786
Minimum0.38580247
Maximum99.811143
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:23:01.150596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.38580247
5-th percentile0.43071655
Q120.14862
median33.76949
Q362.144531
95-th percentile99.804091
Maximum99.811143
Range99.42534
Interquartile range (IQR)41.99591

Descriptive statistics

Standard deviation31.89743
Coefficient of variation (CV)0.76368361
Kurtosis-0.90136081
Mean41.76786
Median Absolute Deviation (MAD)22.536943
Skewness0.51226287
Sum4176.786
Variance1017.4461
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value5.90354358 × 10-5
2025-05-16T12:23:01.176957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:23:01.656698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:23:01.672871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
99.81114259 3
 
3.0%
80.32290616 3
 
3.0%
58.06997743 3
 
3.0%
12.87066246 2
 
2.0%
29.12393788 2
 
2.0%
99.81096408 2
 
2.0%
99.80372915 2
 
2.0%
80.33282905 2
 
2.0%
20.09943182 2
 
2.0%
0.3858024691 2
 
2.0%
Other values (77) 77
77.0%
ValueCountFrequency (%)
0.3858024691 2
2.0%
0.4049676026 1
1.0%
0.4073872895 1
1.0%
0.4114168167 1
1.0%
0.431732326 1
1.0%
0.4318488529 1
1.0%
0.4766444233 1
1.0%
0.6482281763 1
1.0%
0.8363826451 1
1.0%
1.578586136 1
1.0%
ValueCountFrequency (%)
99.81114259 3
3.0%
99.81096408 2
2.0%
99.80372915 2
2.0%
99.71724788 1
 
1.0%
99.71698113 1
 
1.0%
99.70588235 1
 
1.0%
90.01593202 1
 
1.0%
90.01062699 1
 
1.0%
89.98401705 1
 
1.0%
89.44413251 1
 
1.0%
2025-05-16T12:23:01.581584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_60
Numeric time series

High correlation  Non stationary 

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.582098
Minimum22.99643
Maximum78.699437
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:23:01.709100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum22.99643
5-th percentile25.553526
Q129.337223
median38.70341
Q343.004617
95-th percentile78.650248
Maximum78.699437
Range55.703007
Interquartile range (IQR)13.667395

Descriptive statistics

Standard deviation14.759194
Coefficient of variation (CV)0.36368731
Kurtosis1.3682785
Mean40.582098
Median Absolute Deviation (MAD)7.9241884
Skewness1.4105482
Sum4058.2098
Variance217.83381
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1348812681
2025-05-16T12:23:01.758092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:23:02.463630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:23:02.491022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
78.68852459 4
 
4.0%
38.99542072 3
 
3.0%
39.35572481 3
 
3.0%
25.55403557 3
 
3.0%
74.49078564 3
 
3.0%
40.10908019 3
 
3.0%
28.31792976 2
 
2.0%
25.83679115 2
 
2.0%
39.53198128 2
 
2.0%
27.60873623 2
 
2.0%
Other values (71) 73
73.0%
ValueCountFrequency (%)
22.99642989 1
 
1.0%
23.29444335 1
 
1.0%
23.31421792 1
 
1.0%
24.2227247 1
 
1.0%
25.54385005 1
 
1.0%
25.55403557 3
3.0%
25.55753181 1
 
1.0%
25.82249426 1
 
1.0%
25.83679115 2
2.0%
26.67917009 1
 
1.0%
ValueCountFrequency (%)
78.69943676 1
 
1.0%
78.68852459 4
4.0%
78.64823349 1
 
1.0%
75.65941694 1
 
1.0%
74.49078564 3
3.0%
57.22735675 1
 
1.0%
57.21153846 2
2.0%
56.99962867 1
 
1.0%
56.09137056 1
 
1.0%
56.07104023 1
 
1.0%
2025-05-16T12:23:02.379056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macd_7
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-14.403853
Minimum-73.777002
Maximum26.578358
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:23:02.580182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-73.777002
5-th percentile-65.32905
Q1-29.015246
median-14.980122
Q36.0098339
95-th percentile20.195502
Maximum26.578358
Range100.35536
Interquartile range (IQR)35.02508

Descriptive statistics

Standard deviation25.340071
Coefficient of variation (CV)-1.7592565
Kurtosis-0.26023937
Mean-14.403853
Median Absolute Deviation (MAD)18.136795
Skewness-0.45923543
Sum-1440.3853
Variance642.11921
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.01048296179
2025-05-16T12:23:02.626257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:23:03.060988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:23:03.073684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
26.57835807 1
 
1.0%
-23.05964429 1
 
1.0%
-14.66358765 1
 
1.0%
-21.49393943 1
 
1.0%
-26.83482316 1
 
1.0%
-28.18888513 1
 
1.0%
-28.9415585 1
 
1.0%
-29.23630762 1
 
1.0%
-21.10572064 1
 
1.0%
-22.33260779 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-73.77700164 1
1.0%
-72.69035843 1
1.0%
-71.78615114 1
1.0%
-71.77707955 1
1.0%
-68.88571124 1
1.0%
-65.14185723 1
1.0%
-64.80742745 1
1.0%
-58.87554637 1
1.0%
-53.36537775 1
1.0%
-52.02066156 1
1.0%
ValueCountFrequency (%)
26.57835807 1
1.0%
26.42780914 1
1.0%
25.41316994 1
1.0%
23.86413438 1
1.0%
22.01604399 1
1.0%
20.0996841 1
1.0%
18.92462389 1
1.0%
18.16036562 1
1.0%
17.56424907 1
1.0%
17.30869067 1
1.0%
2025-05-16T12:23:03.014337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdsignal_7
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-11.520469
Minimum-54.563004
Maximum20.55705
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:23:03.109849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-54.563004
5-th percentile-50.536824
Q1-22.550958
median-17.59275
Q311.074234
95-th percentile19.152133
Maximum20.55705
Range75.120054
Interquartile range (IQR)33.625192

Descriptive statistics

Standard deviation21.817962
Coefficient of variation (CV)-1.8938433
Kurtosis-0.99774428
Mean-11.520469
Median Absolute Deviation (MAD)20.140255
Skewness-0.23966851
Sum-1152.0469
Variance476.02347
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.012029971
2025-05-16T12:23:03.159959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:23:03.833631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:23:03.872313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.04704667 1
 
1.0%
14.18060475 1
 
1.0%
-17.7342079 1
 
1.0%
-16.3286512 1
 
1.0%
-14.59497593 1
 
1.0%
-12.60168447 1
 
1.0%
-10.85648716 1
 
1.0%
-6.1622604 1
 
1.0%
-1.427093505 1
 
1.0%
2.943172389 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-54.56300389 1
1.0%
-53.71878815 1
1.0%
-52.88957709 1
1.0%
-52.20619318 1
1.0%
-50.92504804 1
1.0%
-50.51639067 1
1.0%
-48.79206608 1
1.0%
-48.63557544 1
1.0%
-46.53756826 1
1.0%
-46.43135163 1
1.0%
ValueCountFrequency (%)
20.55704969 1
1.0%
20.39400193 1
1.0%
20.04013871 1
1.0%
19.79223228 1
1.0%
19.61411301 1
1.0%
19.12781839 1
1.0%
18.82525381 1
1.0%
17.76197434 1
1.0%
17.08622327 1
1.0%
14.18060475 1
1.0%
2025-05-16T12:23:03.737898image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdhist_7
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.8833839
Minimum-66.353342
Maximum61.417702
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:23:03.921889image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-66.353342
5-th percentile-48.601135
Q1-21.048499
median-1.9317736
Q312.632479
95-th percentile54.436001
Maximum61.417702
Range127.77104
Interquartile range (IQR)33.680978

Descriptive statistics

Standard deviation29.074785
Coefficient of variation (CV)-10.083563
Kurtosis-0.035463045
Mean-2.8833839
Median Absolute Deviation (MAD)16.135191
Skewness0.2806436
Sum-288.33839
Variance845.34313
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.01071921692
2025-05-16T12:23:03.989985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:23:04.679466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:23:04.897176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
15.5313114 1
 
1.0%
-37.24024904 1
 
1.0%
3.07062025 1
 
1.0%
-5.165288232 1
 
1.0%
-12.23984723 1
 
1.0%
-15.58720066 1
 
1.0%
-18.08507134 1
 
1.0%
-23.07404722 1
 
1.0%
-19.67862713 1
 
1.0%
-25.27578018 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-66.35334236 1
1.0%
-63.5883808 1
1.0%
-62.28080526 1
1.0%
-55.1857018 1
1.0%
-53.85783018 1
1.0%
-48.32446691 1
1.0%
-42.98643697 1
1.0%
-39.64255614 1
1.0%
-38.8378714 1
1.0%
-37.34972123 1
1.0%
ValueCountFrequency (%)
61.41770156 1
1.0%
60.82747402 1
1.0%
60.21751534 1
1.0%
57.26575014 1
1.0%
54.81883384 1
1.0%
54.41585156 1
1.0%
52.37052187 1
1.0%
49.74710273 1
1.0%
49.37764005 1
1.0%
45.57956299 1
1.0%
2025-05-16T12:23:04.626606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

obv_7
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83328507
Minimum0.00113458
Maximum32.571468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-05-16T12:23:04.924563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00113458
5-th percentile0.0028714805
Q10.01278258
median0.044290165
Q30.27200311
95-th percentile2.0423695
Maximum32.571468
Range32.570333
Interquartile range (IQR)0.25922053

Descriptive statistics

Standard deviation3.8736362
Coefficient of variation (CV)4.6486327
Kurtosis53.175288
Mean0.83328507
Median Absolute Deviation (MAD)0.03977177
Skewness7.1283581
Sum83.328507
Variance15.005057
MonotonicityNot monotonic
2025-05-16T12:23:04.952420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00113458 1
 
1.0%
0.01260084 1
 
1.0%
0.02382526 1
 
1.0%
0.91444063 1
 
1.0%
0.03366963 1
 
1.0%
0.10050392 1
 
1.0%
0.31894098 1
 
1.0%
4.03769803 1
 
1.0%
0.05139855 1
 
1.0%
0.0224397 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
0.00113458 1
1.0%
0.00171182 1
1.0%
0.00190897 1
1.0%
0.00212766 1
1.0%
0.00256008 1
1.0%
0.00288787 1
1.0%
0.00303241 1
1.0%
0.0031998 1
1.0%
0.00379054 1
1.0%
0.0040178 1
1.0%
ValueCountFrequency (%)
32.57146805 1
1.0%
21.0058603 1
1.0%
4.03769803 1
1.0%
3.28723909 1
1.0%
2.78025223 1
1.0%
2.00353353 1
1.0%
1.43092744 1
1.0%
1.23172413 1
1.0%
1.20792975 1
1.0%
1.18215473 1
1.0%

target
Numeric time series

High correlation 

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93931.143
Minimum93707.8
Maximum94255.5
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-16T12:23:04.976965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93707.8
5-th percentile93726.505
Q193847.925
median93898
Q394015.625
95-th percentile94186.24
Maximum94255.5
Range547.7
Interquartile range (IQR)167.7

Descriptive statistics

Standard deviation139.888
Coefficient of variation (CV)0.0014892611
Kurtosis-0.045126343
Mean93931.143
Median Absolute Deviation (MAD)98
Skewness0.6099032
Sum9393114.3
Variance19568.652
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.04559245833
2025-05-16T12:23:05.005212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-16T12:23:05.403742image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T12:23:05.419467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
93880 5
 
5.0%
94000.2 4
 
4.0%
94015.8 4
 
4.0%
94255.5 3
 
3.0%
93898.1 3
 
3.0%
93800 3
 
3.0%
94020.4 3
 
3.0%
93709.5 3
 
3.0%
93987.2 3
 
3.0%
93869.7 2
 
2.0%
Other values (57) 67
67.0%
ValueCountFrequency (%)
93707.8 1
 
1.0%
93709.1 1
 
1.0%
93709.5 3
3.0%
93727.4 1
 
1.0%
93728.2 2
2.0%
93729 1
 
1.0%
93729.1 1
 
1.0%
93740.3 1
 
1.0%
93761.3 1
 
1.0%
93795.3 2
2.0%
ValueCountFrequency (%)
94255.5 3
3.0%
94255.4 2
2.0%
94182.6 2
2.0%
94182.5 1
 
1.0%
94181.2 1
 
1.0%
94177.1 1
 
1.0%
94177 1
 
1.0%
94119.9 1
 
1.0%
94114 1
 
1.0%
94113.5 1
 
1.0%
2025-05-16T12:23:05.335708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

Interactions

2025-05-16T12:22:49.003154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:37.600939image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:38.270601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:38.703807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:39.152781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:39.752850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:40.226336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:40.691742image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:41.307358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:41.766517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:42.177607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:42.604605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.150427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.606157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.098398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.552177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:45.143108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:45.583010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.038304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.629681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.145011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.566169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.138795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.574089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:49.021467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:37.642589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:38.288963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:38.721972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:39.178028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:39.772494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:40.245096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:40.710265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:41.329236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:41.784557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:42.193292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:42.624104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.168510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.622920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.116039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.571719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:45.160789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:45.603798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.056704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.648129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.163755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.585597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.158345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.592076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:49.039002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:37.674467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:38.306576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:38.741875image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:39.196511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:39.791986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:40.264517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:40.757058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:41.349256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:41.802188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:42.211028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:42.644281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.186007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.641484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.134013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.597279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:45.181031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:45.624575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.117855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.665628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.182138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.605839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.176400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.609334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:49.058324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:37.698498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:38.323716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:38.759534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:39.216414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:39.812500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:40.283935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:40.780717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:41.367809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:41.820371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:42.227576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:42.663469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.204198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.659169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.151031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.616912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:45.199715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:45.646184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.138871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.684270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.199389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.626068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.195191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.627435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:49.076059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:37.726283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:38.341577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:38.776684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:39.235263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:39.833809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:40.304026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:40.800591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:41.386931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:41.837631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:42.244475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:42.681980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.221566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.678668image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.169483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.744558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-16T12:22:45.665255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.158170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.702172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.217526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.648050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.212810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.645326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:49.093533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:37.745807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-16T12:22:41.855924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-16T12:22:43.696868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-16T12:22:43.113860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.569517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.056272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.499515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:45.105676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:45.545661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.001573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.593094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.107977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.531603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.100691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.537863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.967491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:49.422790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:38.251692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:38.685591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:39.124921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:39.726633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:40.207002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:40.672144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:41.284332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:41.741154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:42.160206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:42.585256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.132500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:43.588737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.077394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:44.523868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:45.123813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:45.564158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.019360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:46.611713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.126690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:47.548731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.120008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.556650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T12:22:48.985312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-16T12:23:05.472756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
closeema_14ema_21ema_60ema_7highlowmacd_7macdhist_7macdsignal_7obv_7openrsi_14rsi_21rsi_60rsi_7sma_14sma_21sma_60sma_7targetvolumewindow_end_mswindow_start_ms
close1.0000.8610.7610.7820.9440.9790.9930.6510.1390.485-0.3350.9700.3300.5940.4700.1400.8610.7610.7820.9440.845-0.335-0.811-0.811
ema_140.8611.0000.9540.8720.9530.8750.8750.308-0.2910.632-0.2250.887-0.0480.3210.316-0.2551.0000.9540.8720.9530.720-0.225-0.875-0.875
ema_210.7610.9541.0000.9040.8580.7700.7740.096-0.4170.579-0.1950.783-0.2530.1180.183-0.3300.9541.0000.9040.8580.643-0.195-0.892-0.892
ema_600.7820.8720.9041.0000.8410.7870.7850.127-0.1630.249-0.1880.789-0.1460.1040.267-0.1580.8720.9041.0000.8410.731-0.188-0.976-0.976
ema_70.9440.9530.8580.8411.0000.9590.9510.514-0.0520.565-0.2550.9650.1750.4860.407-0.0570.9530.8580.8411.0000.820-0.255-0.859-0.859
high0.9790.8750.7700.7870.9591.0000.9740.6330.1100.503-0.2560.9930.3020.5700.4590.0860.8750.7700.7870.9590.836-0.256-0.812-0.812
low0.9930.8750.7740.7850.9510.9741.0000.6380.1160.499-0.3660.9780.3050.5840.4610.1170.8750.7740.7850.9510.834-0.366-0.815-0.815
macd_70.6510.3080.0960.1270.5140.6330.6381.0000.6550.261-0.2970.6200.8350.9130.5310.5740.3080.0960.1270.5140.617-0.297-0.232-0.232
macdhist_70.139-0.291-0.417-0.163-0.0520.1100.1160.6551.000-0.489-0.1120.0850.8200.5530.3120.838-0.291-0.417-0.163-0.0520.302-0.1120.0660.066
macdsignal_70.4850.6320.5790.2490.5650.5030.4990.261-0.4891.000-0.1460.519-0.0720.3200.170-0.3290.6320.5790.2490.5650.258-0.146-0.261-0.261
obv_7-0.335-0.225-0.195-0.188-0.255-0.256-0.366-0.297-0.112-0.1461.000-0.284-0.173-0.270-0.174-0.203-0.225-0.195-0.188-0.255-0.2951.0000.2310.231
open0.9700.8870.7830.7890.9650.9930.9780.6200.0850.519-0.2841.0000.2770.5600.4480.0650.8870.7830.7890.9650.826-0.284-0.813-0.813
rsi_140.330-0.048-0.253-0.1460.1750.3020.3050.8350.820-0.072-0.1730.2771.0000.7780.4680.721-0.048-0.253-0.1460.1750.371-0.1730.0140.014
rsi_210.5940.3210.1180.1040.4860.5700.5840.9130.5530.320-0.2700.5600.7781.0000.6930.4360.3210.1180.1040.4860.527-0.270-0.200-0.200
rsi_600.4700.3160.1830.2670.4070.4590.4610.5310.3120.170-0.1740.4480.4680.6931.0000.2300.3160.1830.2670.4070.318-0.174-0.305-0.305
rsi_70.140-0.255-0.330-0.158-0.0570.0860.1170.5740.838-0.329-0.2030.0650.7210.4360.2301.000-0.255-0.330-0.158-0.0570.300-0.2030.0350.035
sma_140.8611.0000.9540.8720.9530.8750.8750.308-0.2910.632-0.2250.887-0.0480.3210.316-0.2551.0000.9540.8720.9530.720-0.225-0.875-0.875
sma_210.7610.9541.0000.9040.8580.7700.7740.096-0.4170.579-0.1950.783-0.2530.1180.183-0.3300.9541.0000.9040.8580.643-0.195-0.892-0.892
sma_600.7820.8720.9041.0000.8410.7870.7850.127-0.1630.249-0.1880.789-0.1460.1040.267-0.1580.8720.9041.0000.8410.731-0.188-0.976-0.976
sma_70.9440.9530.8580.8411.0000.9590.9510.514-0.0520.565-0.2550.9650.1750.4860.407-0.0570.9530.8580.8411.0000.820-0.255-0.859-0.859
target0.8450.7200.6430.7310.8200.8360.8340.6170.3020.258-0.2950.8260.3710.5270.3180.3000.7200.6430.7310.8201.000-0.295-0.797-0.797
volume-0.335-0.225-0.195-0.188-0.255-0.256-0.366-0.297-0.112-0.1461.000-0.284-0.173-0.270-0.174-0.203-0.225-0.195-0.188-0.255-0.2951.0000.2310.231
window_end_ms-0.811-0.875-0.892-0.976-0.859-0.812-0.815-0.2320.066-0.2610.231-0.8130.014-0.200-0.3050.035-0.875-0.892-0.976-0.859-0.7970.2311.0001.000
window_start_ms-0.811-0.875-0.892-0.976-0.859-0.812-0.815-0.2320.066-0.2610.231-0.8130.014-0.200-0.3050.035-0.875-0.892-0.976-0.859-0.7970.2311.0001.000

Missing values

2025-05-16T12:22:49.572276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-16T12:22:49.617991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

symbolopenlowhighclosevolumewindow_start_mswindow_end_mscandle_secondssma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obv_7target
1746526980000BTC/USD94255.494255.494255.494255.40.001135174652698000017465270400006094217.37142994185.67142994173.96666794145.41333394217.37142994185.67142994173.96666794145.413333100.099.80353699.71724875.65941726.57835811.04704715.5313110.00113594255.5
1746527040000BTC/USD94255.494255.494255.494255.40.005121174652704000017465271000006094231.85714394192.91428694178.98571494147.09666794231.85714394192.91428694178.98571494147.096667100.099.80353699.71698174.49078626.42780911.15579615.2720130.00512194255.5
1746527160000BTC/USD94255.494255.394255.594255.40.018046174652716000017465272200006094244.07142994200.16428694184.00952494148.78000094244.07142994200.16428694184.00952494148.780000100.099.90167299.81114374.49078625.41317011.22785914.1853100.01804694255.5
1746527220000BTC/USD94255.494255.494255.494255.40.005068174652722000017465272800006094255.27142994207.40714394189.02857194150.46333394255.27142994207.40714394189.02857194150.463333100.099.90157599.81096474.49078623.86413411.23232812.6318060.00506894255.4
1746527340000BTC/USD94255.494255.494255.594255.40.080770174652734000017465274000006094255.38571494214.65714394194.04761994152.32833394255.38571494214.65714394194.04761994152.328333100.0100.00000099.81096478.64823322.01604411.17451310.8415310.08077094255.4
1746527400000BTC/USD94255.594255.494255.594255.50.018998174652740000017465274600006094255.41428694221.90714394199.07142994154.19666794255.41428694221.90714394199.07142994154.196667100.0100.00000099.81114378.69943720.09968411.3925698.7071150.01899894181.2
1746527460000BTC/USD94255.594255.594255.594255.50.039275174652746000017465275200006094255.42857194229.15714394204.09523894156.06333394255.42857194229.15714394204.09523894156.063333100.0100.00000099.81114378.68852518.16036611.5288486.6315180.03927594182.5
1746527520000BTC/USD94255.594255.494255.594255.50.012843174652752000017465275800006094255.44285794236.40714394208.92857194157.93000094255.44285794236.40714394208.92857194157.930000100.0100.00000099.80372978.68852516.30810111.8910254.4170760.01284394182.6
1746527580000BTC/USD94255.594255.494255.594255.40.010344174652758000017465276400006094255.44285794243.65000094213.75714394159.79666794255.44285794243.65000094213.75714394159.79666750.099.90157599.70588278.68852514.59541312.5920402.0033730.01034494182.6
1746527640000BTC/USD94255.594255.494255.594255.40.004568174652764000017465277000006094255.44285794249.75714394218.59047694161.66333394255.44285794249.75714394218.59047694161.66333350.099.88331499.80372978.68852512.99620013.212507-0.2163070.00456894177.1
symbolopenlowhighclosevolumewindow_start_mswindow_end_mscandle_secondssma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obv_7target
1746532500000BTC/USD93709.193709.193709.593709.50.267589174653250000017465325600006093743.67142993795.80714393822.79047693910.14500093743.67142993795.80714393822.79047693910.1450001.15725020.92788728.66205339.355725-38.702216-20.757006-17.9452100.26758993729.0
1746532560000BTC/USD93709.593709.593709.593709.50.002560174653256000017465326200006093731.41428693786.66428693816.00476293907.30333393731.41428693786.66428693816.00476293907.3033331.90583015.51724129.12393839.355725-37.320079-20.074475-17.2456050.00256093729.1
1746532620000BTC/USD93709.493709.493709.593709.50.052052174653262000017465326800006093719.15714393777.52857193809.21904893904.46166793719.15714393777.52857193809.21904893904.4616671.90583015.52560629.12393839.355725-35.006578-19.609192-15.3973860.05205293740.3
1746532680000BTC/USD93709.593709.593728.293728.20.303028174653268000017465327400006093714.42857193769.55714393801.85238193901.93166793714.42857193769.55714393801.85238193901.93166727.60487122.34886026.49650640.739385-30.049925-19.546762-10.5031630.30302893800.0
1746532740000BTC/USD93728.293728.193728.293728.20.006785174653274000017465328000006093714.54285793761.57857193793.39047693899.40333393714.54285793761.57857193793.39047693899.40333351.00000022.31036220.97353840.744356-25.981920-20.995241-4.9866800.00678593800.0
1746532800000BTC/USD93728.293728.193729.093729.00.057083174653280000017465328600006093717.57142993751.97142993784.78095293896.88666793717.57142993751.97142993784.78095293896.886667100.00000012.40916720.16501740.794928-22.259510-19.684585-2.5749250.05708393800.0
1746532860000BTC/USD93729.093729.093729.193729.10.059011174653286000017465329200006093720.42857193742.30000093776.17142993892.72333393720.42857193742.30000093776.17142993892.723333100.00000011.96629220.16501732.686443-19.322366-19.3847050.0623400.05901193830.8
1746532920000BTC/USD93729.093729.093740.393740.30.079204174653292000017465329800006093724.82857193734.25000093772.14761993888.61000093724.82857193734.25000093772.14761993888.610000100.00000018.28925231.55827132.965213-15.437974-18.9493883.5114140.07920493830.7
1746532980000BTC/USD93740.393740.393800.093800.00.190717174653298000017465330400006093737.75714393734.58571493770.36190593885.49000093737.75714393734.58571493770.36190593885.490000100.00000051.30773543.20898238.061224-5.416274-18.05077112.6344970.19071793850.6
1746533040000BTC/USD93800.093800.093800.093800.00.047745174653304000017465331000006093750.68571493734.92142993768.58095293882.37000093750.68571493734.92142993768.58095293882.370000100.00000051.30773543.22463838.0612241.297856-17.68084418.9787000.04774593850.7